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Data with less than a year in SQL, Power BI, Python, and machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with hands-on experience in data collection, cleaning, validation, SQL querying, dashboard development, and exploratory data analysis. Skilled in Python, Excel, Power BI, and statistical analysis to transform raw data into actionable business insights. Seeking an opportunity to contribute analytical and reporting expertise to support data-driven business decisions.
Audisankara College of Engineering & Technology
Mechanical Engineering
N/A – January 1, 2025
Rubixe AI Company
Data Analyst Intern
September 1, 2025 – March 1, 2026
India
Home Loan Default Prediction
December 1, 2025 – March 1, 2026
Collected, cleaned, and analyzed loan application datasets using Python and SQL. Performed statistical analysis to identify major risk indicators affecting loan defaults. Created visual dashboards and reports to communicate findings effectively. Built predictive models and evaluated performance using ROC-AUC metrics. Presented risk insights and recommendations to support lending decisions.
View ProjectPortuguese Bank Marketing Campaign Analysis
September 1, 2025 – December 1, 2025
Performed data cleaning, preprocessing, and validation on customer marketing datasets. Conducted exploratory data analysis to identify customer behavior patterns and campaign performance trends. Built interactive Power BI dashboards to monitor KPIs and campaign effectiveness. Created visual reports enabling business stakeholders to make data-driven decisions. Applied statistical analysis and predictive modeling to improve customer targeting.
View ProjectInternship certification
Rubixe AI
June 1, 2026 – Present
Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a proactive approach to applying data analysis skills to real-world problems (marketing campaigns, loan defaults). The diversity of projects, even if academic, indicates a willingness to tackle different data challenges. The listed soft skills like 'Team Collaboration' and 'Business Understanding' suggest a good cultural fit for a collaborative and business-oriented environment. However, the experience is primarily academic and internship-based, which might require some adjustment to a full-time corporate culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills, which are crucial for a Data Analyst role. Their experience in collaborating with stakeholders and understanding business requirements indicates a good operational fit. The focus on report development for decision-making aligns well with practical business needs.